Recommendation of Personalized Learning Contents Supported by Semantic Web Technologies View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2013

AUTHORS

Jesualdo Tomás Fernández-Breis , Francisco Frutos-Morales , Angel Esteban Gil , Dagoberto Castellanos-Nieves , Rafael Valencia-García , Francisco García-Sánchez , María del Mar Sánchez-Vera

ABSTRACT

Information and Communication Technologies are changing educational processes in several ways and making possible new options for longlife learning. One important issue is to provide mechanisms for the design of contents adapted to the needs and preferences of individuals, that is, providing personalized courses. In this paper we present a recommendation module based on semantic web technologies that combines the semantic modelling of both learning objects and learning objectives. We also describe how the recommendation module has been included in two eLearning systems developed by our research group, for the recommending reinforcement contents and supporting the design of on-demand courses. More... »

PAGES

540-545

References to SciGraph publications

Book

TITLE

Information Systems, E-learning, and Knowledge Management Research

ISBN

978-3-642-35878-4
978-3-642-35879-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-642-35879-1_68

DOI

http://dx.doi.org/10.1007/978-3-642-35879-1_68

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1020779834


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